Prof. Dr. Gabor Kiss | Sensitivity | Research Excellence Award

Prof. Dr. Gabor Kiss | Sensitivity Awards | Research Excellence Award

Prof. Dr. Gabor Kiss | Sensitivity | Obuda University | Hungary

Dr. Gábor Kiss is a Hungarian computer scientist and safety/security researcher whose academic journey began with a degree in computer science (Ing., Bánki Donát Technical College), followed by teacher qualification and a PhD in Mathematics and Computer Science from University of Debrecen, culminating in habilitation in Safety and Security Science at Óbuda University. Over more than three decades he rose through the academic ranks — from institute engineer to assistant lecturer in the early 1990s, senior lecturer and then associate professor, and currently full professor. Alongside academia he led a software-development enterprise (Druida LP), building registry, billing, and work-recording systems for various companies. His research spans computer science education, information security and security awareness, smart-device applications in healthcare, and cutting-edge issues around AI in autonomous vehicles and AI in healthcare. In particular, he has explored the safety, reliability and verification of autonomous driving systems (e.g., modeling traffic-node dynamics with fuzzy Petri nets or using entropy-based methods), as well as risks such as cyber-attacks on critical infrastructure (e.g., financial institutions). His skills include formal methods, modeling of dynamic systems, fuzzy logic, security awareness, algorithm and data-structure design, and applied AI. While no major international awards are listed in the publicly available profile, he has achieved habilitation and full professorship, amassed a substantial number of peer-reviewed publications, and contributed to cross-national and interdisciplinary education (Hungary, Slovakia, Germany). In conclusion, Dr. Kiss represents a seasoned researcher and educator whose career bridges foundational computer science, applied security research, and emerging challenges in AI-driven autonomous systems — a profile of sustained scholarly contribution, practical software engineering, and a forward-looking research agenda.

Professional Profiles: ORCID | Scopus

Selected Publications

  • Kiss, G., & Bakucz, P. (2024). Using Kolmogorov Entropy to Verify the Description Completeness of Traffic Dynamics of Highly Autonomous Driving. Applied Sciences, 14(6), 2261. Cited by 4.

  • Kiss, G., & Bakucz, P. (2024). Fuzzy Petri Nets for Traffic Node Reliability. Sensors, 24(19), 6337. Cited by 1.

  • Gulyás, O., & Kiss, G. (2023). Impact of cyber-attacks on the financial institutions.

  • Kiss, G. (2022). How to impede the external manipulation of autonomous cars?

  • Kiss, G. (2020). Manchurian artificial intelligence in autonomous vehicles.

  • Torres-Gastelú, C. A., & Kiss, G. (2016). Perceptions of Students towards ICT Competencies at the University. Informatics in Education, 15(2), 319–338. Cited by 69.

  • Kiss, G., & Árki, Z. (2017). The influence of game-based programming education on the algorithmic thinking. Procedia – Social and Behavioral Sciences, 237, 613–617. Cited by 53.